8 Best Statistics Books To Learn Statistics

Statistics is the main branch of mathematics. But it is considered as one of the toughest subjects for the students. It is not easy to learn a statistic without the best statistics books. Before going through the entire blog, we should need to have a short introduction to statistics. Statistics is all about the data and the numbers.

In fact, it provides the methods to perform a specific function on the given dataset and numbers. Best books on statistics are the first priority to have a good command over statistics. Also, the best book of statistics provides the students with calculation tips and tricks. Let’s have a look at the best ever statistics books for students.

Related post: Best Statistical Analysis Software

1. Introduction to Statistical Learning

This is a highly recommended book for practising data scientists. The focus of this books is kept on connecting statistics concept with machine learning. Hence, you’ll learn about all popular supervised and unsupervised machine learning algorithms. R users will get an advantage since the practical aspects of algorithms have been demonstrated using R. In addition to theory, this book also lay emphasis on using ML algorithms in a real-life setting.

2. Statistics for Business and Economics

This book is incredible for the statistics students. The reason is this book has the real-world data that is formed into exercises, example and applications. Every chapter of this book is having the latest conversational issue along with its case study. The author has created an exercise with perfection. The students always have an opportunity of evaluating the scenario critically.

3. Think Stats

The author of this book is Alien B Downey. It is based on performing statistical analysis practically in Python. Hence, make sure you’ve got some basic knowledge of Python before buying this book. It focuses entirely on understanding real-life influence of statistics using popular case studies. Since stats and math are closely connected, it also has dedicated chapters on the topic like bayesian estimation.

4. Introduction to Bayesian Statistics

This is a highly recommended book for freshers in data science. The author of this book is William M Bolstad. It’s a must-read for people who find mathematics boring. Having been written in a conversational style (rare to find math this way), this book is a great introductory resource on statistics. It begins with scientific methods of data gathering and ends up delivering dedicated chapters on bayesian statistics.

5. OpenIntro Statistics

Statistics is the most complex subject for students. If its concepts are not written clearly in the books, then it could be overwhelming for the students. Even the students will not learn anything from the book. The book can become garbage for the students. The author of this book keep this into his mind and write a simple words statistics book. He has also taken care of that the written content is well written and clear. This book is kind of a gold mine who has good command over maths and looking to learn stats at a rapid pace. All the statistics concept is cleared with proper details.

6. Statistics II for Dummies

With this great statistics book you will learn how to interpret and critique graphs and charts in statistics. You will also learn the  probability, confidence intervals. hypothesis test, statistical formulas, and much more. Here you will find all the latest examples. Apart from that there is an additional benefit for the students because they will get the free advice to take the real world problems in statistics. In contrast this book makes you ready for the statistics job.

7. Elements of Statistical Learning

This book is an advanced level of the previous book. It is written by Trevor Hastie and Rob Tibshirani, Professors at Stanford University. Their first book ‘Introduction to Statistical Learning’ uncover the basics of statistics and machine learning. This book will introduce you to higher-level algorithms such as Neural Networks, Bagging & Boosting, Kernel methods etc. The algorithms have been implemented in R programming.

8. Naked Statistics: Stripping the Dread from the Data

As per the name we can take an idea that this statistics book is written in a funny manner. This book is almost for everyone. Even if you hate the statistics, but you will definitely love this book. In other words, you need not if you are not good with statistics data, you would like this remarkable book. This book is quite engaging for all the statistics students. This book will help you to learn why statistics is, along with precise almost every topic of statistics.